Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mickpletcher/AI-Skills --skill travel-itinerarygit clone --depth 1 https://github.com/mickpletcher/AI-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mickpletcher/ai-skills/travel-itinerary)<a href="https://agentmods.dev/skills/mickpletcher/ai-skills/travel-itinerary"><img src="https://agentmods.dev/badge/skills/mickpletcher/ai-skills/travel-itinerary/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mickpletcher/ai-skills/travel-itinerary"><img src="https://agentmods.dev/badge/skills/mickpletcher/ai-skills/travel-itinerary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00109 | $0.03840 |
| Opus 5.5 | $0.00044 | $0.01536 |
| Sonnet 5.5 | $0.00022 | $0.00768 |
| Haiku 4.5 | $0.00011 | $0.00384 |
Grade A, and why
travel-itinerary scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Travel Itinerary Skill
Intent
Build practical travel itineraries with route notes, lodging context, pacing, budget visibility, and export-ready structure.
Do Not Use When
- Do not use for broad destination comparison, live booking, visa/legal advice, or unsafe assumptions about current availability.
- Required context is missing and cannot be reasonably inferred.
- A more specific skill in this repo is a better match.
Validation Checklist
- The output matches the skill's intended task and platform.
- Required inputs, assumptions, and uncertainty are explicit.
- Safety, scope, and source limits are respected.
- The response follows the requested format or the skill's default output format.
- The result is practical enough to use without another cleanup pass.
Build Obsidian-formatted trip files from user supplied details. This skill is a reusable template for organizing travel plans into a clean Markdown itinerary.
Primary Triggers
trip or itinerary — Execute immediately. No clarifying questions before producing the first draft.
Other triggers: "plan my trip", "build my itinerary", "travel plan for...", "export this trip", "format my itinerary"
Infer the best trip template before drafting:
city triproad tripactive travelmixed work and leisure
Step-by-Step Workflow
Step 1 — Extract Trip Data
Pull everything available from the conversation. Do not ask clarifying questions if enough info exists to produce a useful draft. Extract:
- Destination(s) and order of travel
- Dates — departure, return, any fixed anchor events
- Anchor events — concerts, races, festivals, sporting events with fixed dates (e.g., Tour de France Grand Départ, Running of the Bulls)
- Accommodation type — hotel, hostel private room, Airbnb, resort, camping, or user specified preference
- Lodging constraints — preferred neighborhoods, price ceiling, transit needs, late check-in needs, luggage storage needs, and location tradeoffs
- Departure airport or origin — if provided
- Transport — flights, trains, ferries, buses
- Border crossings — countries entered, entry method, visa or ETA needs, passport validity, onward ticket needs, and likely checkpoint dates
- Budget target — total or daily
- Known activities or goals per destination
- Trip purpose — adventure, event-based, exploration, endurance event, etc.
- Trip template fit — city trip, road trip, active travel, or mixed work and leisure
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 401 lines · 109 tokens per session scan A 400e7546435f
travel-itinerary is a skill published in the GitHub repository mickpletcher/AI-Skills (20 stars, last pushed 2d ago), licensed MIT. It adds 109 tokens to every session and 3,840 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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